Journal of Computational Finance

Histogram models for robust portfolio optimization

Daniel Bienstock


We present experimental results on portfolio optimization problems with return errors under the robust optimization framework.We use a histogramlike model for return deviations and a model that allows correlation among errors, together with a cutting-plane algorithm which proves effective for large, real-life data sets.

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